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Artificial Intelligence in Drug Discovery and Delivery: Advancements and Applications

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Open Access
Article Type Opinion
Subject Medicine Group
OCLC JBRES Record
Mohammad Ali Mahjoub* and Zahra Sheikholislam
Issue: Volume4-Issue7
Pages: 1140-1142
Received: 2023-07-11
Accepted: 2023-07-25
Published: 2023-07-26

Abstract

Artificial Intelligence (AI) has made significant progress in drug discovery and drug delivery and has become an active area of research. The use of AI in drug delivery has gained significant attention, with the development of new technologies and algorithms that enable more efficient drug delivery. The history of AI in drug discovery can be traced back to the 1960s, and since then, AI has been used in various stages of drug discovery, including target identification, lead optimization, and drug design. AI can aid in different stages of drug development, including drug discovery, formulation, and optimization. AlphaFold is an AI-powered deep learning system that uses neural networks to predict the structure of proteins to design drug molecules. The ultimate goal of using AI in pharmaceuticals is to minimize cost and time and achieve exceptional results without the need for laboratory presence. However, experimental validation is still necessary to verify the accuracy and reliability of the AI-generated results.

FullText HTML FullText PDF DOI: 10.37871/jbres1778 Crossmark

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Copyright

© 2023 Mahjoub MA, et al. Distributed under Creative Commons CC-BY 4.0 Creative CommonsAttribution

How to cite this article

Mahjoub MA, Sheikholislam Z. Artifi cial Intelligence in Drug Discovery and Delivery: Advancements and Applications. 2023 July 26; 4(7): 1140-1142. doi: 10.37871/jbres1778, Article ID: JBRES1778, Available at: https://www.jelsciences. com/articles/jbres1778.pdf

Subject area(s)

Pharmacology

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